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        <datestamp>2026-02-09T06:17:16Z</datestamp>
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          <dc:title>On String and Graph Sanitization</dc:title>
          <dc:creator>Bernardini, Giulia</dc:creator>
          <dc:creator>Chen, Huiping</dc:creator>
          <dc:creator>Loukides, Grigorios</dc:creator>
          <dc:creator>Pissis, Solon P.</dc:creator>
          <dc:subject>data privacy</dc:subject>
          <dc:subject>data sanitization</dc:subject>
          <dc:subject>string algorithms</dc:subject>
          <dc:subject>graph algorithms</dc:subject>
          <dc:description>Data sanitization is a process that conceals sensitive patterns from a given dataset. A secondary goal is to not severely harm the utility of the underlying data along this process. We survey some recent advancements on two related data sanitization topics: string and graph sanitization. In particular, we highlight the important contributions of our friend Prof. Roberto Grossi along this journey.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Giulia Bernardini and Huiping Chen and Grigorios Loukides and Solon P. Pissis</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 132, From Strings to Graphs, and Back Again: A Festschrift for Roberto Grossi's 60th Birthday (2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.Grossi.9</dc:identifier>
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          <dc:language>eng</dc:language>
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